Seung-Jin Ling

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This paper proposes new approach based on the breakdown of metadata repository into taxonomy based metadata classifiers to classify the information. Due to the raising quality issues, it results in avoiding metadata from being processed correctly. The inconsistent metadata makes it difficult to locate relevant information. In the multitier architecture of(More)
The aim of this paper is to depict new approach called taxonomy based data marts which add a new layer for the categorization of the queries using data warehouse which is the database that contains data relevant to an organization information and respond quickly to multi dimensional analytical queries. The new algorithm is introduced here for more precise(More)
A new approach called Web Supported Query Taxonomy Classifier is introduced in this paper, which generates better searching results. We combine WSQ, Web Supported Queries approach with Query Classification in which bridging classifier and category selection method is used for classification of queries. In this paper, Query categorization will build bridging(More)
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